GCP Data Engineer

Role: GCP Data Engineer

Experience: 5-10 Years

Skills: GCP, Python, ETL, Collibra

What Were Looking For:

• Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related technical field.
• 4+ years of hands-on experience in data engineering with a focus on data integrations, warehousing, and analytics pipelines.
• Hands-on experience with:
• Google Big Query as a centralized data warehousing and analytics platform.
• Python for scripting, data processing, and integration logic.
• SQL for data transformation, complex querying, and performance tuning.
• DBT for building modular, maintainable, and reusable transformation models.
• Airflow / Cloud Composer for orchestration, dependency management, and job scheduling.
• Solid understanding of ETL/ELT pipeline development and cloud-based data architecture.
• Strong knowledge of data quality frameworks, validation methods, and governance best practices.
• Preferred Skills (Optional):
• Experience with Ascend.io or comparable ETL platforms such as Databricks, Dataflow, or Fivetran.
• Familiarity with data cataloging and governance tools like Collibra.
• Knowledge of CI/CD practices, Git-based workflows, and infrastructure automation tools.
• Exposure to event-driven or real-time streaming pipelines using tools like Pub/Sub or Kafka.
• Strong problem-solving and analytical mindset with the ability to think broadly and identify innovative solutions and able to quick to learn new technologies, programming languages, and frameworks.
• Excellent communication skills, both written and verbal.
• Ability to work in a fast-paced and collaborative environment.
• Ability to provide on ground troubleshooting and diagnosis to architecture and design challenges
• Good experience in Agile Methodologies like Scrum, Kanban, and managing IT backlogs.
• Be a go-to expert for data technologies and solutions